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An Incentive Mechanism Model for Crowdsensing with Distributed Storage in Smart Cities

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Computers, Materials & Continua 2023年第8期76卷 2355-2384页

作者： Jiaxing Wang Lanlan Rui Yang Yang Zhipeng Gao xuesong qiu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijingChina

Crowdsensing,as a data collection method that uses the mobile sensing ability of many users to help the public collect and extract useful information,has received extensive attention in data collection.Since crowdsensing relies on user equipment to consume resources to obtain information,and the quality and distribution of user equipment are uneven,crowdsensing has problems such as low participation enthusiasm of participants and low quality of collected data,which affects the widespread use of crowdsensing.This paper proposes to apply the blockchain to crowdsensing and solve the above challenges by utilizing the characteristics of the blockchain,such as immutability and openness.An architecture for constructing a crowdsensing incentive mechanism under distributed incentives is proposed.A multi-attribute auction algorithm and a k-nearest neighbor-based sensing data quality determination algorithm are proposed to support the architecture.Participating users upload data,determine data quality according to the algorithm,update user reputation,and realize the selection of perceived data.The process of screening data and updating reputation value is realized by smart contracts,which ensures that the information cannot be tampered with,thereby encouraging more users to participate.Results of the simulation show that using two algorithms can well reflect data quality and screen out malicious data.With the help of blockchain performance,the architecture and algorithm can achieve decentralized storage and tamper-proof information,which helps to motivate more users to participate in perception tasks and improve data quality.

关键词： Crowdsensing incentive mechanism blockchain smart contract

Research on Suspension Gravity Compensation System of Lunar Rover with Magnetic Levitation Servo

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Journal of Harbin Institute of Technology(New Series) 2023年第1期30卷 24-34页

作者： xuesong qiu Dongsheng Li Mengxu Li Ya’nan Wang Jian Liu College of Mechanical Engineering Yanshan UniversityQinhuangdao 066004China

In order to overcome the shortcomings of the traditional sling suspension method,such as complex structure of suspension truss,large running resistance,and low precision of position servo system,a gravity compensation method of lunar rover based on the combination of active suspension and active position following of magnetic levitation is proposed,and the overall design is carried out.The dynamic model of the suspension module of microgravity compensation system was established,and the decoupling control between the constant force component and the position servo component was analyzed and verified.The constant tension control was achieved by using hybrid force/position control.The position following control was realized by using fuzzy adaptive PID(proportional⁃integral⁃differential)control.The stable suspension control was realized based on the principle of force balance.The simulation results show that the compensation accuracy of constant tension could reach more than 95%,the position deviation was less than 5 mm,the position deviation angle was less than 0.025°,and the air gap recovered stability within 0.1 s.The gravity compensation system has excellent dynamic performance and can meet the requirements of microgravity simulation experiment of lunar rover.

关键词： microgravity simulation gravity compensation constant force control hybrid force/position control fuzzy adaptive PID control stable suspension control

Service Function Chain Orchestration across Multiple Clouds

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China Communications 2018年第10期15卷 99-116页

作者： Xuxia Zhong Ying Wang xuesong qiu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

Network function virtualization is a new network concept that moves network functions from dedicated hardware to software-defined applications running on standard high volume severs. In order to accomplish network services, traffic flows are usually processed by a list of network functions in sequence which is defined by service function chain. By incorporating network function virtualization in inter-data center(DC) network, we can use the network resources intelligently and deploy network services faster. However, orchestrating service function chains across multiple data centers will incur high deployment cost, including the inter-data center bandwidth cost, virtual network function cost and the intra-data center bandwidth cost. In this paper, we orchestrate SFCs across multiple data centers, with a goal to minimize the overall cost. An integer linear programming(ILP) model is formulated and we provide a meta-heuristic algorithm named GBAO which contains three modules to solve it. We implemented our algorithm in Python and performed side-by-side comparison with prior algorithms. Simulation results show that our proposed algorithm reduces the overall cost by at least 21.4% over the existing algorithms for accommodating the same service function chain requests.

关键词：网络服务功能链多重网络函数组织数据中心网络功能虚拟化

A feedback control mechanism for adaptive SLO maintenance in dynamic service level management

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Frontiers of Electrical and Electronic Engineering in China 2010年第2期5卷 188-196页

作者： Fei GAO xuesong qiu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China

With the increasing scale of information technology(IT)service system,traditional thresholdbased static service level management(SLM)solution appears to be inadequate to meet current increasingly management requirement of SLM.Due to the stochastic service request rate,the random inherent failure and load surge of IT devices during service operating stage of large scaled IT system,service level objective(SLO)maintenance issue has become a realistic and important issue in dynamic SLM.This paper proposes a closed-loop feedback control mechanism to adaptively maintain SLO that service provider(SP)guaranteed at service operation stage.The mechanism can automatically tune the capacity of IT infrastructure according to service performance dispersion and reduce SLO violations.Considering that the tuning operations also affect service performance,fuzzy control is applied to alleviate the negative effect caused by tuning operations.In the dynamic SLM system that is applied with this mechanism compared with the traditional threshold-based solution,it is proved that the amount of SLO violations obviously decreases,the reliability of the service system increases relatively,and the resource utilization of IT infrastructure is optimized.

关键词： dynamic service level management(SLM) service level objective(SLO)maintenance closed-loop feedback control fuzzy control

Service Scheduling Based on Edge Computing for Power Distribution IoT

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Computers, Materials & Continua 2020年第3期62卷 1351-1364页

作者： Zhu Liu xuesong qiu Shuai Zhang Siyang Deng Guangyi Liu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China State Grid Information&Telecommunication Group Co. Ltd.Beijing102211China Global Energy Interconnection Research Institute North America San JoseCA95134USA

With the growing amounts of multi-micro grids,electric vehicles,smart home,smart cities connected to the Power Distribution Internet of Things(PD-IoT)system,greater computing resource and communication bandwidth are required for power distribution.It probably leads to extreme service delay and data congestion when a large number of data and business occur in emergence.This paper presents a service scheduling method based on edge computing to balance the business load of PD-IoT.The architecture,components and functional requirements of the PD-IoT with edge computing platform are proposed.Then,the structure of the service scheduling system is presented.Further,a novel load balancing strategy and ant colony algorithm are investigated in the service scheduling method.The validity of the method is evaluated by simulation tests.Results indicate that the mean load balancing ratio is reduced by 99.16%and the optimized offloading links can be acquired within 1.8 iterations.Computing load of the nodes in edge computing platform can be effectively balanced through the service scheduling.

关键词： PD-IoT edge computing service scheduling load balancing strategy ant colony algorithm

A Blockchain Based Mobile Crowdsensing Market

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China Communications 2019年第6期16卷 31-41页

作者： Xin Wei Yong Yan Wei Jiang Jing Shen xuesong qiu State Key Laboratory of Networking and Switching Technology of Beijing University of Posts and Telecommunications Beijing 100876China State Grid Zhejiang Electric Power Research Institute Hangzhou 310014China Internet department of State Grid Corporation of China Beijing 100031China State Grid Henan Electric Power Company Information&Telecommunication Company Zhengzhou 450000China

Mobile crowdsensing(MCS)is an emerging pattern which means task initiators attract mobile users sensing with their own devices by some platforms.MCS could exploit idle resources in low cost,while it has lots of flaws,which impede its developments.First,isolations between different MCS systems leads to wastage of social resources.What’s more,current MCS always operate in a centralized way,which causes it vulnerable and unbelievable.Blockchain is a promising technology which could supply a credible and transparent environment.This paper construct a blockchain based MCS market and design smart contract for its operation.In our design,platform breaks isolation by blockchain,task initiators and mobile users manage their tasks by smart contract and bargain price with distributed algorithm.By this way,resource could be exploited better,and the market could be more fair.What’s more,the paper analyzes Walrasian Equilibrium(WE)in the market,and details how to deploy MCS in blockchain.Evalution results shows that Equilibrium could be found.

关键词： mobile crowdsensing incentive mechanism blockchain Walrasian Equilibrium

An Image Classification Method Based on Deep Neural Network with Energy Model

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Computer Modeling in Engineering & Sciences 2018年第12期117卷 555-575页

作者： Yang Yang Jinbao Duan Haitao Yu Zhipeng Gao xuesong qiu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China.

The development of deep learning has revolutionized image recognition technology.How to design faster and more accurate image classification algorithms has become our research interests.In this paper,we propose a new algorithm called stochastic depth networks with deep energy model(SADIE),and the model improves stochastic depth neural network with deep energy model to provide attributes of images and analysis their characteristics.First,the Bernoulli distribution probability is used to select the current layer of the neural network to prevent gradient dispersion during training.Then in the backpropagation process,the energy function is designed to optimize the target loss function of the neural network.We also explored the possibility of using Adam and SGD combination optimization in deep neural networks.Finally,we use training data to train our network based on deep energy model and testing data to verify the performance of the model.The results we finally obtained in this research include the Classified labels of images.The impacts of our obtained results show that our model has high accuracy and performance.

关键词： Image classification deep energy model deep neural network stochastic depth deep learning.

A Fairness Resource Allocation Algorithm for Coverage and Capacity Optimization in Wireless Self-Organized Network

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China Communications 2018年第11期15卷 10-24页

作者： Pan Zhao Lei Feng Peng Yu Wenjing Li xuesong qiu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China Henan University of Technology Zhengzhou 450007 China

To achieve the higher resource efficiency, Coverage and Capacity Optimization(CCO) as an important role of the network self-healing and self-optimization, has become a focus topic in wireless Self-Organized Network(SON). In this paper, a novel CCO scheme is proposed to maximize utility function of the integrated coverage and capacity. It starts with the analysis on the throughput proportional fairness(PF) algorithm and then proposes the novel Coverage and Capacity Proportional Fairness(CCPF) allocation algorithm along with a proof of the algorithms convergence. This proposed algorithm is applied in a coverage capacity optimization scheme which can guarantee the reasonable network capacity by the coverage range accommodation. Next, we simulate the proposed CCO scheme based on telecom operators' real network data and compare with three typical resource allocation algorithms: round robin(RR), proportional fairness(PF) and max C/I. In comparison of the PF algorithm, the numerical results show that our algorithm increases the average throughput by 1.54 and 1.96 times with constructed theoretical data and derived real network data respectively.

关键词：资源分配算法网络数据能力优化组织无线理论数据 CCO

CMLP: Exploiting Caches at Multiple Levels of Proxies to Enhance Seamless Mobility Support in Information-Centric Networks

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China Communications 2016年第10期13卷 86-107页

作者： Haoqiu Huang Lanlan Rui Weiwei Zheng Danmei Niu xuesong qiu State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications

The recent evolution of the Internet towards "Information-centric" transfer modes has renewed the interest in exploiting proxies to enhance seamless mobility. In this work, we focus on the case of multiple levels of proxies in ICN architectures, in which content requests from mobile subscribers and the corresponding items are proactively cached to these proxies at different levels. Specifically, we present a multiple-level proactive caching model that selects the appropriate subset of proxies at different levels and supports distributed online decision procedures in terms of the tradeoff between delay and cache cost. We show via extensive simulations the reduction of up to 31.63% in the total cost relative to Full Caching, in which caching in all 1-level neighbor proxies is performed, and up to 84.21% relative to No Caching, in which no caching is used. Moreover, the proposed model outperforms other approaches with a flat cache structure in terms of the total cost.

关键词： Information-centric networking mobility multiple levels of proxies Publish-Subscribe